Salman Khaleel Sab (@Khalees2)
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Khalees2

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1

Phishing-URL-Classification-using-Machine-Learning

In this work we used various Machine learning classifiers to classify the phishing URLs from benign URLs. Detailed description is provided in the report.
Jupyter Notebook
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2

Video-Memorability-Predection-using-Machine-Learning

MediaEval 2018 is a competition which took place at France, Sophia Antipolis and EURECOM in October 2018. This competition had various tasks and predicting media memorability is one among those. Memorability can be defined as how good or bad a person can remember any video after a specified period of time. This is a part of MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation. I will be predicting the probability of video getting remembered based on the given set of pre-computed features. After experimenting with the different Machine learning techniques using the features given, our results showed that โ€˜Captionsโ€™ which is one of the features provided that gives a brief description of what a video contains obtained the best result among all other features.
Jupyter Notebook
3
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3

Vectorization-BagofWords-for-Chinese-Text-using-Python

Segmentation of Chinese text for NLP using Python (jieba library)
Jupyter Notebook
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4

MapReduce-Pig-and-Hive-on-Vagrant-and-Google-Dataproc

Large Data analysis using Pig and Hive with Vagrant and Google Dataproc
Python
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5

Concurrent-Programming-with-Java-Multithereading

Developing a thread-based Java application, capable of executing on multiple cores concurrently
Java
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